What are the prerequisites?
Python 3.10 or higher, a running Milvus instance (local or remote), and `uv` installed.
@brcarry
A pimilvus code generating helper with SSE-based MCP support
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-pymilvus-code-generator": {
"command": "uv",
"args": [
"run",
"src/mcp_pymilvus_code_generate_helper/sse_server.py"
]
}
}
}Find related pymilvus code/documents to help generating code from user input in natural language
Find related orm and pymilvus client code/documents to help converting orm code to pymilvus client (or vice versa)
Find related documents and code snippets in different programming languages for milvus code translation
`query`: A string of Milvus API names in list format to translate from one programming language to another (e.g., ['create_collection', 'insert', 'search'])
An MCP server that retrieves relevant code snippets or documents to help generate pymilvus code. It integrates with a running Milvus instance and is intended for developers using AI coding assistants like Cursor or Claude Desktop.
Run the server with uv run src/mcp_pymilvus_code_generate_helper/sse_server.py (for SSE) or uv run src/mcp_pymilvus_code_generate_helper/stdio_server.py (for STDIO). Configure it in Cursor or Claude Desktop by adding an MCP server entry. The server connects to a local Milvus instance by default; use --milvus_uri to specify a remote one.
Python 3.10 or higher, a running Milvus instance (local or remote), and `uv` installed.
Yes, the `OPENAI_API_KEY` environment variable must be set when using the STDIO configuration (e.g., in Claude Desktop or Cursor).
It supports both SSE (Server-Sent Events) and STDIO (standard input/output).
Yes, a Dockerfile is provided. Build the image with `docker build -t milvus-code-helper .` and run with environment variables for `OPENAI_API_KEY`, `MILVUS_URI`, and `MILVUS_TOKEN`.

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